Abstract
Addictions are highly heritable disorders, with heritability estimates ranging from 39% to 72%. Multiple studies suggest a link between paternal drug abuse and addiction in their children. However, patterns of inheritance cannot be explained purely by Mendelian genetic mechanisms. Exposure to drugs of abuse results in epigenetic changes that may be passed on through the germline. This mechanism of epigenetic transgenerational inheritance may provide a link between paternal drug exposure and addiction susceptibility in the offspring. Recent studies have begun to investigate the effect of paternal drug exposure on behavioral and neurobiological phenotypes in offspring of drug-exposed fathers in rodent models. This review aims to discuss behavioral and neural effects of paternal exposure to alcohol, cocaine, opioids, and nicotine. Although a special focus will be on addiction-relevant behaviors, additional behavioral effects including cognition, anxiety, and depressive-like behaviors will be discussed.
Keywords: addiction, alcohol, cocaine, epigenetics, nicotine, opioid
Introduction
Addiction is a result of a complex interaction between genetic, environmental, and drug use factors (Ducci & Goldman, 2012). It is clear from twin, family, and adoption studies that there is a major genetic component in alcohol, nicotine, cannabis, psychostimulant, and opioid abuse (Ducci & Goldman, 2012), with heritability estimates ranging from 0.39 to 0.72 (Ho et al., 2010). Human genome-wide association studies of substance use disorders have identified numerous candidate loci and genes (Ho et al., 2010; Ducci & Goldman, 2012; Jensen, 2016). However, these associated variants typically only account for a small fraction of the total heritability estimates, a phenomenon known as “missing heritability” (Eichler et al., 2010). Although this “missing heritability” may be due in part to technical and experimental limitations, it is also possible that alternative biological mechanisms may mediate and explain this phenomenon. Additionally, human studies have found that the patterns of inheritance of drug use and abuse cannot be explained solely by simple genetic mechanisms (Schuckit et al., 1972; Cloninger et al., 1981).
Environmental factors, such as stress, play a key role in the development of substance use disorders, making drug addiction an archetypal gene by environment disorder. Therefore, both genetic and environmental factors contribute to an individual’s susceptibility to addiction following initial exposure to drugs of abuse. Epigenetics can be viewed as the link between the environment and an individual’s genome. Broadly, epigenetics is defined as alterations in gene expression without changes in DNA sequence (Jaenisch & Bird, 2003; Bird, 2007). Epigenetic changes are molecular modifications to both DNA and chromatin, including DNA methylation, histone post-translational modifications, and regulation by small non-coding RNAs (Li, 2002; Klose & Bird, 2006; Richards, 2006; Talbert & Henikoff, 2006).
Exposure to drugs of abuse results in epigenetic modifications that can mediate long-lasting neurobiological and behavioral changes (Nestler, 2014). For example, acute exposure to cocaine results in increased histone acetylation in the nucleus accumbens, and alternatively, treatment with a histone deacetylase inhibitor results in increased cocaine conditioned place preference (Kumar et al., 2005). This study, and many others, have provided key evidence for a link between drug exposure, epigenetic modification and drug-induced behaviors in the drug-exposed individual. Beyond epigenetic modifications in brain regions pertinent to drug use, drug exposure may also result in epigenetic modifications in the sperm or ova (Vassoler & Sadri-Vakili, 2014). For example, histone modifications in the sperm are altered following cocaine self-administration (Vassoler et al., 2013). Until recently, it was believed that epigenetic modifications were erased and not passed on to subsequent generations. However, epigenetic modifications, including DNA methylation, histone post-translational modifications, and non-coding RNAs, acquired in one generation can be inherited in the next generation (Bird, 2007; Manolio et al., 2009; Skinner & Guerrero-Bosagna, 2009). For example, exposure to environmental toxins and pesticides can result in DNA methylation changes in sperm of subsequent generations (Guerrero-Bosagna et al., 2010; Manikkam et al., 2012a,b,c). Recently, it has been demonstrated that these epigenetic factors can contribute to disease heritability (Jirtle & Skinner, 2007; Skinner et al., 2010) and may provide a link between environmental exposures and genetic inheritance, and ultimately explain the “missing heritability” phenomenon. The ability of environmental factors to promote the epigenetic transgenerational inheritance of disease and phenotypic variation has now been established in a number of organisms ranging from plants to humans, with a variety of environmental exposures (Skinner et al., 2010). Therefore, it is possible that epigenetic modifications due to drug use may result in behavioral and neurobiological changes, and ultimately contribute to drug use and dependence across generations (Hughes, 2014).
Developmental neurobehavioral effects associated with prenatal drug exposure due to maternal drug use are well-characterized for some abused substances (Malanga & Kosofsky, 2003; Lester et al., 2004; Ornoy & Ergaz, 2010; Sithisarn et al., 2012). For example, a significant body of literature describes the effects of prenatal ethanol exposure on the brain (Swayze et al., 1997), such as alterations in the development of the basal ganglia (Mattson et al., 1996) and corpus callosum (Riley et al., 1995). The effects of direct prenatal exposure are clear; however, less is known about the effects of parental drug use that does not result in direct exposure. Interestingly, multiple studies suggest a link between paternal alcohol abuse and alcohol abuse in their children (Ervin et al., 1984; Peterson & Pihl, 1990; Pihl et al., 1990; Ozkaragoz et al., 1997), but genetic factors cannot completely explain the pattern of inheritance (Schuckit et al., 1972; Cloninger et al., 1981). Therefore, it is of interest to understand the effects of paternal drug exposure prior to conception on offspring neurobiology and addiction-relevant phenotypes. A focus on paternal transmission eliminates the consequences of direct in utero drug exposure and the potential influence of previous drug exposure in dams on maternal behavior. Drug exposure prior to conception, even as young as adolescence, can affect maternal care of pups in adulthood (Johnson et al., 2011). Even a single episode of maternal separation can result in alterations in drug intake in the pups (Martini & Valverde, 2012). Therefore, investigating the offspring of a drug-exposed sire mated with a drug-naïve dam removes a potential confounding effect of maternal care irregularities. Although it is possible that interaction with a drug-exposed male may impact maternal rearing behaviors, recent studies examined maternal behaviors and found no differences between the dams bred with cocaine-exposed sires relative to control sires (Vassoler et al., 2013), and between morphine-exposed sires relative to control sires (Li et al., 2014).
Recent studies have begun to investigate the effect of paternal drug exposure on neurobiological and behavioral phenotypes of future generations. This review aims to summarize findings regarding the multigenerational and transgenerational inheritance of behavioral and neurobiological phenotypes in offspring of drug-exposed fathers. Special attention will be paid to studies addressing paternal exposure to alcohol, cocaine, opioids, and nicotine in animal models. THC or cannabinoid exposure studies will not be discussed because, to our knowledge, current studies include either only maternal exposure or both paternal and maternal exposure (Szutorisz et al., 2014, 2016; Watson et al., 2015), which does not allow for the dissociation of paternal and maternal exposure effects.
Notably, a clear distinction must be made between multigenerational and transgenerational inheritance when considering transmission of epigenetic effects. Transgenerational inheritance consists of germ-line-mediated inheritance of epigenetic information between generations in the absence of direct environmental influences that leads to phenotypic variation (Skinner, 2011). If an F0 father is exposed to a drug of abuse prior to mating, the germ cells that go on to produce the F1 generation are considered “exposed” and a phenotype in the F1 generation would represent multigeneraional inheritance. (Skinner, 2008, 2011). However, if the F1 generation is then never exposed to a drug of abuse, its offspring (the F2 generation) will not be considered “exposed” and a phenotype in the F2 generation would represent transgenerational inheritance. Epigenetic transgenerational inheritance may provide a means by which parental drug use can influence several generations of offspring. Interestingly, in C. elegans, environment-induced epigenetic marker changes have been shown to be inherited by at least 14 generations, suggesting that transgenerational inheritance may persist past the F2 generation (Klosin et al., 2017). There is a particular interest in the persistence of transgenerational effects of drug exposure on drug-related phenotypes, but this review will cover a wide range of behavioral and neurobiological effects of paternal exposure.
Alcohol
Alcohol is the most widely abused drug in the USA (Center for Behavioral Health Statistics and Quality, 2015). Its actions on the brain are mediated through several neurotransmitter systems, including glutamatergic and GABAergic signaling (Koob, 2014). Despite alcohol’s widespread use, only approximately 30% of adults in the United States will develop an alcohol use disorder (Grant et al., 2015), including symptoms such as dependence and/or withdrawal. Genetic factors are largely responsible for the differential vulnerability, with heritability of alcohol abuse/dependence estimated to be 50–70% (Ho et al., 2010). However, the genetic factors alone cannot completely explain the pattern of inheritance of alcohol abuse disorders (Schuckit et al., 1972; Cloninger et al., 1981).
Although the effects of in utero ethanol exposure are largely defined, the effects of paternal exposure to alcohol on offspring development and behavior are less clear (Table 1). Alcohol-sired Sprague Dawley rats demonstrated learning and memory deficits, including impairments in spatial learning (Wozniak et al., 1991). Additionally, alcohol-sired Swiss Webster mice displayed increased latencies to reach a choice point in a T-maze (Abel & Lee, 1988). Cognitive deficits of alcohol-sired male offspring also include attention deficits and increased impulsivity, as observed in ICR mice (Kim et al., 2014). Alcohol-sired male Swiss Webster mice show decreased fear and increased aggression (Meek et al., 2007). Paternal ethanol exposure results in blunted acute and chronic stress-related phenotypes in male 129Sv/ImJ × C57BL/6J mice (Rompala et al., 2016). Paternal exposure to alcohol has also been associated with increased anxiety and depression in female Kunming mice (Liang et al., 2014).
Table 1.
Multigenerational and transgenerational effects of paternal exposure to alcohol on behavioral and neural function.
| F0 exposure | F0 exposure age | Species | Generation tested | Sex tested | Phenotype (in offspring) | Effect | Source |
|---|---|---|---|---|---|---|---|
| Chronic: 20% ethanol for 56 days | 9–17 weeks | Swiss Webster Mice | F1 | Males & Females | T-maze at PND16 | Increased latency | Abel & Lee (1988) |
| Locomotor activity at PND30 | Decreased locomotor activity | ||||||
| Amphetamine-induced locomotor activity at PND100 | No effect | ||||||
| Chronic: intubated twice daily with 3 g/kg ethanol for 4 months | 10–20 weeks | Sprague Dawley Rats | F1 | Males | Passive avoidance | Decreased trials to meet criterion | Abel (1994) |
| Physostigmine-induced locomotor activity | Decreased locomotor activity | ||||||
| Chronic: intubated twice daily with 3 g/kg ethanol for 4 months | 10–20 weeks | Sprague Dawley Rats | F1 | Males & Females | Amphetamine-induced locomotor activity at PND90 | Increased locomotor activity | Abel (1993) |
| Chronic: 20% ethanol in water as sole liquid for 48 days | Adult (age not specified) | Sprague Dawley Rats | F1 | Males & Females | Brain morphometry at PND28 | Increased cortical thickness | Jamerson et al. (2004) |
| Chronic: 4 g/kg/day ethanol for 7 weeks | 5–12 weeks | ICR Mice | F1 | Males | Open field | Increased locomotor activity | Kim et al. (2014) |
| Y-maze | Decreased spontaneous alternation behavior | ||||||
| Electrofoot shock aversive water drinking test | Increased number of attempts | ||||||
| Western blotting | Decreased DAT in the striatum | ||||||
| Methylation-specific PCR for DAT gene promoter | Increased methylation of DAT promoter | ||||||
| Chronic: intubated every other day 3.3 g/kg for 4 weeks | 5–10 weeks | Kunming Mice | F1 | Males & Females | Elevated Plus Maze | M: No effect, F: Decreased open arm time | Liang et al. (2014) |
| Tail Suspension Test | M: No effect, F: Increased time immobile | ||||||
| Morris Water Maze | M: Increased time to find platform, F: No effect | ||||||
| Acute: 5 g/kg i.p. 20% ethanol | 12 weeks | Swiss Webster Mice | F1 | Males & Females | Resident-intruder test | Increased aggressive behavior | Meek et al. (2007) |
| Defensive burying | Increased defensive behavior | ||||||
| Chronic: 35% ethanol-derived calories for 39 days | 3–10 weeks | Sprague Dawley Rats | F1 | Males | Radial arm maze | Impaired | Wozniak et al. (1991) |
| T-maze | Impaired | ||||||
| Object recognition test | No effect | ||||||
| Chronic: Ethanol Vapor chamber, 8 h, 5 days/week, 5 weeks | 8–13 weeks | 129Sv/ImJ × C57BL/6J Mice | F1 | Males & Females | Ethanol two-bottle choice | M: Reduced ethanol preference, F: no effect | Finegersh & Homanics (2014) |
| M: Reduced ethanol consumption, F: no effect | |||||||
| Ethanol-induced anxiolysis | M: Enhanced sensitivity to anxiolytic effects of ethanol, F: no effect | ||||||
| Ethanol-induced locomotor activity | No effect | ||||||
| Accelerating rotarod | M: Enhanced, F: no effect | ||||||
| qPCR (Bdnf in the VTA) | M: Increased, F: no effect | ||||||
| Chronic: Ethanol Vapor chamber, 8 h, 5 days/week, 5 weeks | 8–13 weeks | 129Sv/ImJ × C57BL/6J Mice | F1 | Males & Females Males | Stress-evoked ethanol drinking | No effect | Rompala et al. (2016) |
| Stress-evoked polydipsia | Resistant | ||||||
| Chronic: Ethanol Vapor chamber, 8 h, 5 days/week, 5 weeks | 8–13 weeks | C57BL/6J Mice | F1 | Males & Females | Ethanol two-bottle choice | M: Reduced ethanol preference, F: no effect | Rompala et al. (2017) |
| Ethanol-induced anxiolysis | M: Enhanced sensitivity to anxiolytic effects of ethanol, F: no effect | ||||||
| Ethanol-induced locomotor activity | No effect | ||||||
| Accelerating rotarod | No effect | ||||||
| qPCR (Bdnf in the VTA) | M:Increased, F: no effect |
Alcohol-sired offspring additionally show differential response to drugs of abuse. Alcohol-sired male 129Sv/ImJ × C57BL/6J mice and C57BL/6J mice had reduced ethanol preference and consumption but exhibited enhanced sensitivity to the anxiolytic and motor-enhancing effects of ethanol (Finegersh & Homanics, 2014; Rompala et al., 2017). It is likely that the decreased ethanol consumption was due to increased sensitivity to alcohol. These effects were male-specific with no observed differences in alcohol-sired female offspring. Interestingly, alcohol-sired male and female Sprague Dawley offspring show increased sensitivity to amphetamine (Abel, 1993). Taken together, these studies suggest that alcohol-sired offspring are more sensitive to alcohol and amphetamine, which can be interpreted as a protective phenotype, with the increase in ethanol sensitivity actually resulting in decreased ethanol consumption and preference.
Paternal alcohol exposure also results in neurobiological alterations in offspring. F0 fathers exposed to alcohol produce F1 Sprague Dawley rats that display cortical thickening (Jamerson et al., 2004), which may indicate changes in development such as altered synaptic pruning or developmental apoptosis. Paternal exposure results in hyperactivity in male Sprague Dawley rats, and this effect is normalized by treatment with physostimigine, a reversible cholinesterase inhibitor, suggesting cholinergic deficits in alcohol-sired offspring (Abel, 1994). Alcohol also mediates neurobiological changes highly relevant to drugs of abuse. Brain-derived neurotrophic factor (BDNF) has a well-known role in synaptic plasticity, and has been implicated in response to multiple drugs of abuse (Barker et al., 2015). BDNF expression has been shown to mediate alcohol drinking behaviors in rodents (Pandey, 2016), with increased BDNF in the ventral tegmental area (VTA) resulting in decreased alcohol consumption (Raivio et al., 2014). Alcohol-sired male 129Sv/ImJ × C57BL/6J mice and C57BL/6J mice showed increased Bdnf mRNA expression in the VTA (Finegersh & Homanics, 2014; Rompala et al., 2017), which may underlie the observed decrease in alcohol consumption. Additionally, Finegersh & Homanics (2014) identified decreased DNA methylation at the Bdnf promoter in the VTA of male 129Sv/ImJ × C57BL/6J mice. This epigenetic change may be the mechanism that results in increased VTA Bdnf, and ultimately decreased alcohol consumption. Additionally, alcohol-sired male ICR mice showed decreased dopamine transporter (DAT) expression in the cortex and striatum and hypermethylation of the Dat gene (Kim et al., 2014). Furthermore, these alcohol-sired male ICR mice expressed an attention deficit hyperactivity disorder (ADHD)-like phenotype, with increased activity, increased impulsivity, and decreased attention. DAT is a regulator of dopamine reuptake, and is known to be dysregulated in the frontostriatal dopamine system in ADHD (Faraone & Biederman, 1998). Thus, paternal alcohol exposure appears to affect DAT promoter methylation in offspring, which may be responsible for the observed differences in DAT expression, and ultimately producing an ADHD-like phenotype. The observed decrease in DAT expression is contradictory with the observed increased sensitivity to amphetamine in alcohol-sired male and female Sprague Dawley offspring (Abel, 1993). Amphetamine is a DAT inhibitor (Heikkila et al., 1975; Horn, 1990), and decreased expression of DAT via knockdown results in decreased locomotor stimulant response to amphetamine (Cagniard et al., 2014). However, it is important to note that these studies were completed in different species, and to our knowledge, no studies have assessed if there is an effect of paternal alcohol exposure on DAT expression in Sprague Dawley offspring.
These studies provide evidence of detectable and behaviorally significant multigenerational effects of paternal alcohol exposure on learning and memory, fear, and stress-related phenotypes in offspring. However, these effects may be sex-specific, with only male offspring exhibiting changes in attention (Kim et al., 2014), aggression (Meek et al., 2007), and alcohol sensitivity (Finegersh & Homanics, 2014; Rompala et al., 2016, 2017). Additionally, it is unclear if any of the observed effects are transgenerational, as only F1 offspring have been assessed, which warrants assessment in additional generations.
Cocaine
Approximately 15% of Americans will use the psychostimulant cocaine within their lifetime (Center for Behavioral Health Statistics and Quality, 2015). The rewarding effects of cocaine are largely mediated by blocking the dopamine transporter to increase dopamine levels in the nucleus accumbens (Kuhar et al., 1991). Differences in baseline dopamine signaling are correlated with differential susceptibility to cocaine abuse (Volkow et al., 1999). Genetic factors account for approximately 50% of the inter-individual differences in cocaine dependence (Ho et al., 2010). Despite the high heritability of cocaine dependence, very few genome-wide studies have investigated cocaine dependence (Pierce et al., 2018). A recent study identified a single nucleotide polymorphism in FAM53B significantly associated with cocaine dependence (Gelernter et al., 2014). Thus, although genetic factors contributing to susceptibility to cocaine abuse have been identified, there is still a large missing heritability, which may be accounted for by multigenerational and transgenerational inheritance.
Current research has identified numerous multigenerational effects of paternal cocaine exposure (Table 2). Changes in baseline locomotor activity were identified in adolescent offspring (PND16) of male Long Evans rats exposed to cocaine, with both male and female offspring displaying hyperactivity (Abel et al., 1989). However, these differences were not observed in adult offspring (PND60) of male C57BL/6J mice exposed to similar levels of cocaine (30 mg/kg subcutaneous cocaine for 10 weeks in Long Evans rats compared to 20 mg/kg subcutaneous cocaine for 10 weeks in C57BL6/J mice) (Killinger et al., 2012). These results suggest differential effects of paternal cocaine on adolescent offspring compared to adult offspring. Additionally, it is possible that the genetic background (inbred for C57BL6/J vs. outbred for Long Evans rats) may have significantly affected response to cocaine in the sire, and thus behavioral effects on the offspring. Still, a recent study by Fischer et al. (2017) identified that male, but not female, offspring of cocaine-exposed male C57BL/6J mice displayed increased baseline locomotor activity; results that are contrasting with those of Killinger et al. (2012). It is possible that seemingly minor alterations in behavior protocol (such as extensive handling prior to open field testing in Killinger et al., 2012) could be responsible for the observed differences between male offspring of cocaine-exposed C57BL/6J. Additionally, Fischer et al. (2017) analyzed male and female offspring separately, whereas Killinger et al. (2012) analyzed male and female offspring together. This key difference in statistical analysis may have altered the power to detect an effect of paternal exposure within each sex.
Table 2.
Multigenerational and transgenerational effects of paternal exposure to cocaine on behavioral and neural function.
| F0 exposure | F0 exposure age | Species | Generation tested | Sex tested | Phenotype (in offspring) | Effect | Source |
|---|---|---|---|---|---|---|---|
| Chronic: 15 or 30 mg/kg, s.c. for at least 72 days | 16–17 weeks | Long Evans Rat | F1 | Males & Females | Open Field | Hyperactive | Abel et al. (1989) |
| Passive Avoidance | No effect | ||||||
| T-maze | Increased trials to criterion | ||||||
| Chronic: Self-administration via inhalation | 4–7 weeks | CD1 Mice | F1 | Males & Females | 5-arm maze | Increased trials to criterion | He et al. (2006) |
| Chronic: 20 mg/kg, i.p., 10 weeks | 12–24 weeks | C57BL/6J Mice | F1 | Males & Females | Elevated Plus Maze | No effect | Killinger et al. (2012) |
| Open Field | No effect | ||||||
| Tail Suspension | Increased immobility | ||||||
| Novel Object Recognition | No effect | ||||||
| Morris Water Maze | No effect | ||||||
| Chronic: Self-administration (60 days) | 9–18 weeks | Sprague Dawley Rats | F1 | Males & Females | Cocaine self-administration | M: Reduced cocaine self-administration, F: no effect | Vassoler et al. (2013) |
| Chronic: Self-administration (60 days) | 9–18 weeks | Sprague Dawley Rats | F1 | Males & Females | Novelty-induced hypophagia | M: Increased, F: no effect | White et al. (2016) |
| Defensive Burying | M: Increased, F: no effect | ||||||
| Forced Swim Test | No effect | ||||||
| Males | qPCR &Westem Blot (CRF-R2) | Increased in hippocampus | |||||
| Chronic: Self-administration (60 days) | 9–18 weeks | Sprague Dawley Rats | F1 | Males & Females | Object Location memory task | M: Impaired, F: no effect | Wimmer et al. (2017) |
| Novel Object Recognition | No effect | ||||||
| LTP | M: Impaired, F: no effect | ||||||
| Chronic: 20 mg/kg i.p., 75 days | 8–18 weeks | C57BL/6J Mice | F1 | Males & Females | Open Field | M: hyperactive F: no effect | Fischer et al. (2017) |
| Cocaine-CPP (5 mg/kg, 10 mg/kg) | M: no effect, F: lower CPP at 5 mg/ kg, no effect at 10 mg/kg | ||||||
| Cocaine-induced locomotor activity (10 mg/kg) | M,F: Increased | ||||||
| Amphetamine-induced locomotor activity | M,F: Increased | ||||||
| Sucrose consumption test | M: no effect, F: Increased | ||||||
| Forced Swim Test | M,F: no effect | ||||||
| Elevated Plus Maze | M: Decreased time in the open arms, F: no effect | ||||||
| Three-Chambered social interaction Test | M,F: no effect | ||||||
| Morris Water Maze | M,F: no effect | ||||||
| Water-based Y-maze | M,F: no effect | ||||||
| Chronic: Self-administration (Separated into Addict F0 and Non-Addict F0) | 10–14 weeks | Sprague Dawley Rats | F1, F2 | Males | Cocaine Self-administration | Addict F1, F2: Increased cocaine intake, Non-addict F1, F2: Decreased cocaine intake | Le et al. (2017) |
Notably, a number of studies have found conflicting phenotypes in cocaine-sired mice. Cocaine-sired adolescent Long Evans rats (PND35) displayed increased perseverance in a T-maze learning task (Abel et al., 1989). Additionally, in a self-administration model of paternal exposure, cocaine-sired adult male Sprague Dawley rats displayed impaired spatial memory, as assessed by a hippocampus-dependent spatial object recognition task (Wimmer et al., 2017). Cocaine-sired CD1 mice displayed attention and spatial working memory deficits, as assessed by a 5-arm maze (He et al., 2006). However, cocaine-sired C57BL/6J mice did not display deficits in a different form of hippocampus-dependent learning, the Morris water maze (Killinger et al., 2012; Fischer et al., 2017). Cocaine-sired male Sprague Dawley rats did not display deficits in a hippocampus-independent novel object recognition task (Wimmer et al., 2017). The Wimmer et al. (2017) study suggests that the hippocampus and hippocampus-dependent learning may be more susceptible to the effects of paternal cocaine exposure. However, multiple factors related to experimental design may also explain these inconsistencies. For example, experimenter-administered exposure was utilized in Killinger et al. (2012) and Abel et al. (1989), but self-administration models were used in Wimmer et al. (2017) and He et al. (2006). These techniques would result in differential cocaine levels, with higher peak plasma levels in He et al. (2006) and Wimmer et al. (2017). In addition, effects of paternal cocaine exposure may be species- or strain-specific. For example, Long Evans and Sprague Dawley rats differ in their behavioral response to cocaine (Horowitz et al., 1999). Despite contrasting results, together, these studies provide support for cognitive deficits in cocaine-sired offspring.
Anxiety and depressive-like phenotypes have also been assessed in subsequent generations following paternal cocaine exposure. Only cocaine-sired male Sprague Dawley offspring displayed increased anxiety-like behaviors as measured by novelty-induced hypophagia and defensive burying tasks, relative to saline-sired males and cocaine-sired female offspring (White et al., 2016). In Killinger et al. (2012), differences in anxiety-relevant behaviors were not observed in cocaine-sired C57BL/6J mice, as measured by open field activity and elevated plus maze. However, in Fischer et al. (2017), decreased time in the open arms of the elevated plus maze was detected in male cocaine-sired C57BL/6J offspring, but not female offspring. It is important to note though, as mentioned above, that Fischer et al. (2017) analyzed male and female offspring separately, whereas Killinger et al. (2012) analyzed male and female offspring together, which may have altered the power to detect an effect of paternal exposure within each sex. In addition, it is possible that these contrasting results may be a reflection of species-specific effects, differential sensitivity of specific anxiety behavioral paradigms or differences in cocaine exposure paradigms. With regards to depressive-like behaviors, no differences were observed in cocaine-sired Sprague Dawley rats (White et al., 2016) or C57BL/6J mice (Fischer et al., 2017), as measured by the forced swim test. However, differences were observed in cocaine-sired C57BL/6J mice, as measured by the tail suspension test, with cocaine-sired offspring displaying increased immobility (Killinger et al., 2012). Although both of these behavioral tests assess behavioral despair, they appear to have different underlying neural correlates (Chatterjee et al., 2012). For example, only forced swim test, not tail suspension test, shows predictive validity for the negative symptoms of schizophrenia. Taken together, these studies provide evidence for alterations in mood systems in cocaine-sired offspring that warrant further study.
Cocaine-sired offspring also show differential response to psychostimulants. Cocaine-sired male and female C57BL/6J mice offspring displayed increased cocaine-and amphetamine-induced locomotor activity, representing increased sensitivity to psychostimulants (Fischer et al., 2017). In addition, Cocaine-sired female C57BL/6J mice offspring displayed decreased cocaine-conditioned place preference at a lower dose of cocaine (5 mg/kg), but not at a higher dose of cocaine (10 mg/kg), suggesting a shift in the dose– response curve of cocaine reward in cocaine-sired female offspring (Fischer et al., 2017). Furthermore, cocaine-sired Sprague Dawley rats acquired cocaine self-administration more slowly and had decreased levels of cocaine intake relative to controls (Vassoler et al., 2013), suggesting a protective effect against cocaine use. This protective effect occurred only in males, with no differences observed in female offspring.
Attributed to the outbred nature of Sprague Dawley rats and the variability in response to cocaine, rats can be divided into high and low responders to the psychomotor stimulant properties of cocaine (Allen et al., 2007; Mandt & Zahniser, 2010). In a study by Le et al. (2017), Sprague Dawley rats were trained to self-administer cocaine and then separated into “Addict” F0 rats (top 25% of responders) and “Non-addict” F0 rats (bottom 40% of responders). Following separation into “Addict” F0 and “Non-addict” F0 rats, they were bred with naïve females to generate F1 and F2 offspring. The “Addict” F1 and F2 offspring displayed increased cocaine self-administration, while no effect on cocaine self-administration was detected in the “Non-addict” F1 and F2 offspring (Le et al., 2017). Previous studies that have separated mouse drug-response into high and low responders have identified numerous genetic differences between these sub-populations (Radcliffe et al., 2006; He et al., 2008; Belknap et al., 2013). These findings provided support for a gene by environment interaction that can greatly alter the effects of paternal cocaine exposure. Future studies parsing apart the effect of paternal cocaine on cocaine-seeking vs. cocaine-intake in offspring, while controlling for factors such as genetic background, may serve to clarify this interaction.
Cocaine-sired offspring exhibit neurobiological changes that may be mediating the observed behavioral effects. Relevant to the observed differences in learning and memory, cocaine-sired male Sprague Dawley rats displayed reductions in NMDA receptor-mediated hippocampal synaptic plasticity, with impaired long-term potentiation (LTP) and decreased levels of D-serine (Wimmer et al., 2017). Relevant to the observed differences in anxiety and depressive-like behaviors, cocaine-sired male Sprague Dawley offspring showed increased mRNA and protein expression of corticotropin-releasing factor receptor 2 (CRF-R2) in the hippocampus (White et al., 2016). Changes in CRF levels have been shown to contribute to anxiety-like behaviors associated with cocaine withdrawal (Richter & Weiss, 1999; Morisot et al., 2014, 2018). Therefore, changes in CRF-R2 may mediate the alterations in anxiety-related behaviors. Additionally, altered CRF signaling in the hippocampus could result in hippocampal deficits, and in turn, deficits in hippocampal-dependent learning (Blank et al., 2002).
An additional neurobiological change associated with paternal cocaine exposure is alterations in BDNF which plays a critical role in regulating structural plasticity in dopaminergic neurons important for mediating the effects of drugs of abuse (Collo et al., 2014). Specifically, cocaine-sired Sprague Dawley offspring display increased medial prefrontal cortex (mPFC) BDNF mRNA and protein levels (Vassoler et al., 2013). Additionally, elevation of BDNF level in cocaine-sired offspring was shown to correlate with cocaine intake of the F0 Sprague Dawley male (Le et al., 2017). Also, an increased association of acetylated histone H3 with Bdnf promoters was observed in the mPFC of cocaine-sired Sprague Dawley rats, which suggests a potential epigenetic mechanism that may mediate the multigenerational phenotype (Vassoler et al., 2013). It was previously observed that increased BDNF in the mPFC blunts the behavioral effects of cocaine, which may explain the protective effect of paternal cocaine exposure on cocaine self-administration in offspring (Berglind et al., 2007).
Together, these findings provide support for multigenerational effects of cocaine exposure on cognitive measures, anxiety phenotypes, and depression-like phenotypes. Importantly, convergent evidence supports alterations in self-administration in cocaine-sired offspring; although this effect may be mediated by yet to be identified factors. This suggests increased vulnerability to changes in mental health in cocaine-sired offspring. Critically, there are currently few reports of transgenerational inheritance of these effects, which warrants future studies.
Opioids
There is currently an opioid overdose epidemic in the USA (Calcaterra et al., 2013). Increases in the use of prescription opioids, such as oxycodone, has resulted in a significant shift to heroin abuse and subsequent overdose deaths (Dasgupta et al., 2014). Both prescription opioids and heroin produce their rewarding properties via mu-opioid receptors in the ventral tegmental area and nucleus accumbens (Britt & Wise, 1983). Approximately 43–60% of variability in opioid abuse/dependence is accounted for by genetic factors (Ho et al., 2010). Importantly, environmental factors such as family relationships and peer groups, can affect vulnerability to opioid abuse (Jedrzejczak, 2005). Additionally, parental opioid exposure may significantly enhance substance abuse liability in subsequent generations.
The majority of multigenerational and transgenerational opioid exposure studies have involved maternal opioid exposure (Byrnes, 2005; Byrnes et al., 2011, 2013; Johnson et al., 2011; Vassoler et al., 2014, 2016, 2017, 2018). However, a few studies have investigated behavioral and neurobiological differences in the offspring of opioid-exposed sires (Table 3).
Table 3.
Multigenerational and transgenerational effects of paternal exposure to opioids on behavioral and neural function.
| F0 exposure | F0 exposure age | Species | Generation tested | Sex tested | Phenotype (in offspring) | Effect | Source |
|---|---|---|---|---|---|---|---|
| Chronic: Sustained-released morphine pellets (3–4 weeks) | 4–8 weeks | Sprague Dawley Rats | F1 | Males & Females | Hypothalamic beta-endorphin levels | Male: No effect, Female: Increased | Cicero et al. (1991) |
| Acute: morphine (35 mg/ kg., i.p.) | 9 weeks | Sprague Dawley Rats | F1 | Males & Females | Antinociceptive activity of morphine: hot plate | Male: Enhanced sensitivity, Female: No effect | Cicero et al. (1995) |
| Chronic: morphine (32 mg/kg, 2x daily, i.p., 5 days) | 16–20 weeks | Wistar Rats | F1 | Males & Females | Hippocampal LTP | Reduced LTP | Sarkaki et al. (2008) |
| Chronic: morphine (increasing dosing regimen, 38 days, i.p.) | 6–12 weeks | Wistar Rats | F1, F2 | Males & Females | Antinociceptive activity of morphine: Tail-withdrawal latency | F1 male: Enhanced sensitivity, F1 female: No effect; F2 male: No effect, F2 female: Enhanced sensitivity | Vyssotski (2014) |
| Chronic: morphine (increasing dosing regimen, 10 days, i.p.) | 8–10 weeks | Sprague Dawley Rats | F1 | Males & Females | Elevated Plus Maze | Increased anxiety-like behaviors | Li et al. (2014) |
| Open field | Increased anxiety-like behaviors; no effect on overall locomotor activity | ||||||
| Morris Water Maze | No effect | ||||||
| Hippocampal Dendritic Morphology | Decreased dendritic, length, dendritic branching, and dendritic spine number | ||||||
| Western Blotting (IGF-2) | Decreased levels | ||||||
| Chronic: heroin (increasing dosing regimen i.p.) | 6–8 weeks | Sprague Dawley Rats | F1, F2, F3 | Males | Open field | FI, F2: Increased anxiety-like behaviors; F3: no effect | Farah Naquiah et al. (2016) |
| Elevated Plus Maze | FI, F2: Increased anxiety-like behaviors; no effect on overall locomotor activity; F3: no effect | ||||||
| Resident-Intruder | FI, F2: Increased aggressive behavior; F3: no effect | ||||||
| Chronic: morphine (10 mg/kg, 2x daily, s.c.. 14 days) | Adult (age not specified) | Wistar Rats | F1 | Males & Females | Elevated Plus Maze | No effect | Pooriamehr et al. (2017) |
| Sucrose Preference Test | No effect | ||||||
| Morphine Two-bottle Choice | No effect | ||||||
| Chronic: morphine (increasing dosing regimen, 10 days, i.p.) | 4–6 weeks | Wistar Rats | FI | Males | Formalin-induced Pain Test | Decreased duration of interphase period (quiescent phase with little to no pain behaviors) | Pachenari et al. (2018) |
| Morphine-induced Antinociception (2.5 mg/kg) | No effect |
Morphine exposure in adult male Sprague Dawley rats resulted in increased anxiety-like behavior in male and female offspring, as assessed by elevated plus maze and open field testing (Li et al., 2014). Similarly, heroin-exposure in Sprague Dawley sires resulted in F1 male offspring with increased anxiety-like behavior, as assessed by open field activity and elevated plus maze performance (Farah Naquiah et al., 2016). Additionally, these offspring exhibited increased aggressive behavior as evaluated by the resident intruder test (Farah Naquiah et al., 2016). The increased anxiety and aggressive behavior was also observed in heroin-sired F2 offspring, providing evidence for transgenerational inheritance, but were not passed on to the 3rd generation (F3). Interestingly, these behavioral alterations (i.e. increased anxiety and aggression) mirrored the behavioral response in the F0 heroin-exposed males, resembling opioid withdrawal behaviors (Tidey & Miczek, 1992; Grasing et al., 1996), without any opioid exposure. Opioid withdrawal is associated with increased CRF (Ingallinesi et al., 2012; Umathe et al., 2012; Park et al., 2013), which has been linked to increased anxiety and aggressive behaviors (Bruchas et al., 2009; Carpenter et al., 2009). Therefore, it is possible, though untested, that opioid-sired offspring exhibited increased CRF levels, which may increase vulnerability to opioid abuse (Piazza et al., 1991; Sinha, 2001, 2008, 2009); direct assessment of neural correlates to the observed behavioral alterations should be performed to definitively elucidate these links.
In addition, opioid exposure in F0 males may alter sensitivity to opioids in offspring. Although the effects of paternal opioid exposure on the locomotor stimulant or rewarding properties of opioids in subsequent generations have not yet been assessed, morphine two-bottle choice was assessed in pubertal Wistar male and female rats from opioid-exposed sires (Pooriamehr et al., 2017). Though this study did not detect an effect of paternal morphine exposure on morphine two-bottle choice, it is worth noting that when both dam and sire were exposed to chronic morphine, F1 male and female offspring displayed increased morphine consumption. Additional studies have assessed sensitivity to the antinociceptive properties of opioids in opioid-sired offspring. Importantly, there is a significant association with analgesic sensitivity and abuse liability, with enhanced angelsic sensitivity associated with increased risk of abuse (Franklin, 1989, 1998). Therefore, assessing antinociceptive properties of opioids can serve as a proxy for understanding opioid reward. A recent study showed that chronic morphine treatment in Wistar rat sires did not affect morphine-induced antinocieption in the offspring as assessed by the formalin pain test (Pachenari et al., 2018). However, in a separate study, exposure to a single dose of morphine in adult male Sprague Dawley rats prior to breeding resulted in F1 male offspring that exhibited enhanced antinociceptive effects of morphine in the hot plate assay (Cicero et al., 1995). Conversely, there was no effect of morphine on nociception in morphine-sired female offspring (Cicero et al., 1995). Similarly, a chronic exposure to morphine in adult male Wistar rats resulted in F1 male offspring with enhanced analgesic effects of morphine in the tail-withdrawal assay that did not persist into a second generation (Vyssotski, 2014). Despite F1 female offspring not exhibiting this phenotype, F2 female offspring showed enhanced analgesic effects of morphine (Vyssotski, 2014). These findings suggest that the effects of paternal morphine exposure may display complex sex by generation interactions.
The mechanisms underlying the sex differences observed in offspring derived from opioid-exposed fathers is not yet understood. It is well-established that females and males differ in their sensitivity to opioids in most analgesic assays (Craft, 2008; Loyd et al., 2008), with males consistently exhibiting enhanced sensitivity to the antinociceptive properties (Cicero et al., 1996, 1997; South et al., 2009). It is worth noting that maternal opioid exposure also results in sex-specific differences in opioid analgesia, with male offspring also displaying enhanced sensitivity to the antinociceptive properties of opioids (Byrnes et al., 2011). There are numerous aspects of the endogenous opioid system that are divergent based on sex; potential mechanisms that may underlie these differences include distribution of mu-opioid receptors or estrogenic effects on endogenous opioid signaling (Vathy, 2002; Craft, 2008; Loyd et al., 2008). Importantly, paternal opioid exposure has been shown to influence endogenous opioid signaling in a sex-dependent manner (Cicero et al., 1991). Morphine-sired female offspring, but not male offspring, exhibited increased hypothalamic levels of beta-endorphin, an endogenous ligand for the mu-opioid receptor (Cicero et al., 1991). Increased beta-endorphin levels can result in opioid receptor desensitization and tolerance (Petraschka et al., 2007), therefore, this mechanism may explain the lack of antinociceptive properties of morphine in opioid-sired female offspring. Taken together, paternal opioid exposure may increase the risk of opioid vulnerability in offspring in a sex-dependent manner.
Converging evidence from recent studies suggests that opioid-exposed sires produce offspring with alterations in synaptic plasticity, which plays a significant role in the pathogenesis of anxiety (Kheirbek & Hen, 2011) and addiction (Luscher & Malenka, 2011). Long-term potentiation, the enhancement of synaptic strength that results from synchronous firing of connecting neurons (Bliss & Lomo, 1973), is one form of synaptic plasticity. Hippocampal LTP was decreased in offspring of morphine-exposed sires (Sarkaki et al., 2008). On the basis of deficits in hippocampal LTP, it is likely that opioid-sired offspring would display deficits in hippocampal learning and memory. It is worth noting that to our knowledge only one study (Li et al., 2014) assessed potential deficits in learning and memory in opioid-sired offspring and found no difference using the Morris water maze. Importantly, the Morris water maze was assessed in Sprague Dawley rats, whereas the differences in hippocampal LTP were assessed in Wistar rats. In addition, it remains to be determined if other cognitive domains are altered. Further studies investigating learning and memory in opioid-sired offspring may yield additional information regarding potential learning and memory deficits.
Morphine-sired Sprague Dawley offspring also displayed reduced dendritic length and branching in the dentate gyrus of the hippocampus, another neural correlate of synaptic plasticity (Li et al., 2014). Moreover, offspring exhibited decreased levels of insulin-like growth factor 2 (IGF-2) in the granular zone of the dentate gyrus (Li et al., 2014). Increased levels of IGF-2 have been shown to enhance neurogenesis and dendritic plasticity (Fernandez & Torres-Aleman, 2012). Together, these results support aberrant synaptic plasticity in the hippocampus of opioid-sired offspring, which might underlie the observed differences in anxiety-relevant behaviors (Li et al., 2014; Farah Naquiah et al., 2016). Importantly, Li et al. (2014), were able to reverse the increased anxiety in morphine-sired offspring by overexpressing hippocampal IGF-2 during adolescence, providing a direct link between hippocampal synaptic plasticity and the anxiety-prone opioid-sired offspring.
From these studies, it is clear that paternal opioid exposure, even a single exposure, can influence behavior and neurobiological characteristics of subsequent generations. Multiple lines of evidence suggest that opioid-sired offspring exhibit increased withdrawal-like behaviors and synaptic plasticity deficits. These alterations, combined with altered sensitivity to the antinociceptive properties of opioids combine to suggest that opioid-sired offspring may exhibit increased vulnerability to opioid abuse. As of yet, studies have not investigated the impact of paternal opioid exposure on self-administration of opioids. Future studies assessing self-administration of opioids in the paternal drug exposure paradigm are warranted to investigate the potential influence of motivated drug-seeking by self-administration.
Nicotine
It was estimated in 2016, that 15.5% of adults in the USA were current smokers, and approximately 75% of these individuals smoked daily (Center for Behavioral Health Statistics and Quality, 2015). Tobacco smoke consists of approximately 4000 ingredients, which includes nicotine, the primary addictive agent (Stolerman & Jarvis, 1995; Mishra et al., 2015). Nicotine’s reinforcing and rewarding properties are produced by binding to nicotinic acetylcholine receptors (nAChRs) on dopaminergic neurons in the mesolimbic dopamine system, resulting in increased dopamine release in the nucleus accumbens (Barrett et al., 2004; Balfour, 2009). There is a large genetic component in smoking-related behaviors. The heritability of smoking initiation is estimated to be 44% and the heritability of nicotine dependence is estimated to be 75% (Vink et al., 2005). Genome-wide association and candidate gene studies in humans have identified genetic factors that underlie smoking-related behaviors. For example, variants in the genes that encode three nAChR subunits (CHRNA5, CHRNA3, CHRNB4) are associated with smoking heaviness and delayed smoking cessation (Bierut & Tyndale, 2018). Despite the success of finding human genetic variants that underlie differences in nicotine dependence, variation in these genes alone does not explain heritability of smoking-related behaviors. Environmental factors, such as peer smoking, influence smoking initiation and dependence (Hu et al., 2006), and also interact with genetic factors to produce selective genotype-dependent effects (Johnson et al., 2010). Additionally, parental smoking status affects smoking initiation in adolescents, with children who have parents that are current smokers exhibiting increased likelihood to become smokers (Vuolo & Staff, 2013; Kandel et al., 2015). However, the child’s likelihood of initiating smoking is decreased if the parent is a past-smoker instead of current smoker (Kandel et al., 2015), which suggests that the relationship between parental smoking and smoking initiation in children is not purely genetic. Therefore environmental factors, including paternal nicotine exposure, may account for the remaining risk for smoking initiation and nicotine dependence.
Recent studies suggest that paternal nicotine exposure may effect behavioral and neural development in offspring (Table 4). A recent study by Vallaster et al. (2017) exposed male C57BL6/J mice to nicotine in drinking water (200 μg/mL free base in drinking waking for 5 weeks) and then assessed behavior in offspring. This exposure paradigm results in high levels of nicotine in the bloodstream, nicotine dependence, and somatic withdrawal symptoms in the exposed animals (Zhao-Shea et al., 2013). In the F1 offspring, no differences were observed in baseline activity, as assessed by open field behavior, although other phenotypic changes were seen (Vallaster et al., 2017). In contrast, a study by Dai et al. (2017) utilized two alternate nicotine exposure paradigms and identified differences in baseline activity in the open field. In the study by Dai et al. (2017), C57BL6/J mice were exposed to either chronic nicotine injections (F1-nic; 0.05 mg/ 100 g free-base nicotine, i.p., 4x daily for 5 weeks) or chronic tobacco smoke (F1-smo; 2x daily for 1 h for 5 weeks). One criticism of an oral nicotine paradigm, as used in Vallaster et al. (2017), is that it does not appropriately mimic smoking behavior, and does not result in the fluctuations of plasma nicotine levels seen in cigarette smokers (Benowitz et al., 1982). It is possible that the difference in nicotine exposure paradigms resulted in the inconsistent effect of paternal nicotine on locomotor activity in the offspring.
Table 4.
Multigenerational and transgenerational effects of paternal exposure to nicotine on behavioral and neural function.
| F0 exposure | F0 exposure age | Species | Generation tested | Sex tested | Phenotype (in offspring) | Effect | Source |
|---|---|---|---|---|---|---|---|
| Chronic: Nicotine drinking paradigm (200 μg/mL free base in water) for 5 weeks | 3 −8 weeks | C57BL/6J Mice | F1 | Males & Females | Open field test | No effect | Vallaster et al. (2017) |
| Elevated Plus Maze | No effect | ||||||
| Nicotine-induced hypolocomotor assay | No effect | ||||||
| Nicotine self-administration | No effect on daily levels of nicotine administered | ||||||
| Effect on survival curve of mice at high levels of nicotine during self-administration, NIC-sired mice survived longer | |||||||
| Susceptibility to toxic nicotine injection | No effect | ||||||
| Susceptibility to toxic nicotine injection after chronic nicotine exposure | Male : more tolerant, Female: no effect | ||||||
| Chronic: F1-SMO (2x daily 1 h tobacco smoke exposure for 5 weeks) | 6–11 weeks | C57BL/6J Mice | F1 | Males & Females | Open field test | Increased locomotor activity | Dai et al. (2017) |
| Elevated Plus Maze | No effect | ||||||
| Novel Object Recognition | No effect | ||||||
| Social Chamber Test | Increased time in social chamber | ||||||
| Forced Swim Test | Decreased time spent immobile | ||||||
| Sucrose Preference | No effect | ||||||
| Chronic: F1-NIC (0.05 mg/100 g free-base nicotine, i.p., 4x daily for 5 weeks) | 6–11 weeks | C57BL/6J Mice | F1, F2 | Males & Females | Open field test | F1: Increased locomotor activity, F2: no effect | |
| Elevated Plus Maze | F1, F2: No effect | ||||||
| Novel Object Recognition | F1, F2: No effect | ||||||
| Social Chamber Test | F1, F2: No effect | ||||||
| Forced Swim Test | F1: Decreased time spent immobile, F2: no effect | ||||||
| Sucrose Preference | F1, F2: No effect |
In addition to basal locomotor activity, anxiety and depressive-like phenotypes have been assessed in F1 offspring of F0 fathers exposed to nicotine. No differences were observed between nicotine-sired and control-sired offspring in anxiety-like behavior, as assessed by elevated plus maze (Dai et al., 2017; Vallaster et al., 2017). However, offspring from both chronic nicotine injections (F1-nic) and chronic tobacco smoke (F1-smo) displayed reduced depressive-like behaviors, as assessed by the forced swim test (Dai et al., 2017). Decreased depressive-like behavior suggests alterations in neurotransmitter systems, possibly including dopaminergic and serotoninergic systems (Zangen et al., 2001). Paternal nicotine exposure (F1-nic) induced activation of the Wnt4 pathway in nicotine-sired C57BL/6J offspring, as identified by mRNA sequencing and then confirmed by protein analysis. Specifically, the levels of two key proteins in Wnt4 signaling, WNT4 and Dishevelled 2 (DVL2) were increased in F1 brain tissue (Dai et al., 2017). Disruption of Wnt signaling is seen in bipolar disorder and major depressive disorder (Voleti & Duman, 2012), and knockdown of Wnt signaling genes results in depressive-like phenotypes (Zhou et al., 2016). Alternatively, anti-depressants activate Wnt signaling (Okamoto et al., 2010). Thus, activation of the Wnt signaling pathway may underlie the observed decrease in differences in depressive-like behavior seen in the nicotine-sired offspring.
Paternal nicotine exposure may affect nicotine response in offspring. Although there was no effect on nicotine-induced suppression of locomotor activity or nicotine self-administration, offspring displayed a protective response to toxic levels of nicotine (Vallaster et al., 2017). At the highest levels of nicotine in the self-administration test, nicotine-sired male and female offspring survived for days longer than the control-sired offspring, suggesting a protective effect of paternal exposure to high levels of nicotine. Upon further investigation, this protective effect was dependent on chronic treatment with nicotine. When offspring were exposed to a single toxic nicotine exposure (5.5–8.5 mg/kg for males, 2–8 mg/kg for females), there was no observed difference in survival rates between nicotine-sired and control-sired mice. However, if mice received 6 days of chronic nicotine, and then a lethal nicotine challenge exposure, male nicotine-sired offspring exhibited a tolerance to the lethal dose compared to female nicotine-sired offspring and both male and female control-sired offspring. These sex differences in tolerance to high doses of nicotine were not observed when the chronic nicotine was delivered via the self-administration paradigm prior to the high dose nicotine challenge. One of the key differences between these two paradigms is in length of prior exposure to nicotine (15+ days in the self-administration paradigm vs. 6 days in the chronic preexposure paradigm). This suggests that there may be a sex difference in response chronic nicotine in nicotine-sired offspring, with male offspring acclimating after only 6 nicotine exposure, but female offspring requiring more exposures.
Current studies assessing the behavioral and neural effects of paternal nicotine exposure are limited. However, recent studies suggest that paternal exposure can alter depressive-like and anxiety-relevant behaviors and impose a protective effect to high levels of nicotine. Future studies assessing additional behavioral effects and identifying the neural correlate of decreased depressive-like behaviors in nicotine-sired offspring are warranted.
Concluding remarks
Paternal drug exposure is associated with numerous significant alteration to the behavior and neurobiology of offspring and subsequent generations. The reviewed studies have focused on cognitive deficits, anxiety and depression-like phenotypes, drug response, and neurobiological correlates. In contrast with the human literature suggesting that paternal drug exposure results in increased vulnerability to drug abuse in offspring, results from preclinical studies suggest a protective effect of paternal drug exposure. Alcohol-sired offspring displayed reduced alcohol drinking (Finegersh & Homanics, 2014), nicotine-sired offspring displayed a protective effect to toxic levels of nicotine (Vallaster et al., 2017), and cocaine-sired offspring displayed reduced cocaine conditioned place preference (Fischer et al., 2017) and self-administration (Vassoler et al., 2013). Notably, however, preliminary findings in the area of paternal opioid exposure suggest increased vulnerability to opioid abuse in offspring. To our knowledge, there are no studies assessing opioid reward or self-administration in opioid-sired offspring, which will be necessary to determine this effect. Additionally, it is important to note that paternal exposure to multiple drug classes (opioids, cocaine, alcohol) also resulted in increased anxiety-relevant behaviors, which may increase vulnerability to drug abuse (Piazza et al., 1991; Sinha, 2001, 2008, 2009). The increases in anxiety and aggression, in combination with deficits in learning and memory suggest maladaptive neuroadaptations in multiple neural systems.
Converging evidence from multiple studies and drug classes supports a role of altered CRF and BDNF in mediating changes in drug-sired offspring. Additionally, paternal exposure to both cocaine and opioids resulted in deficits in hippocampal plasticity. Together, these studies have identified multiple changes in neural function in drug-sired offspring.
The transgenerational effects of paternal drug exposure may not be straightforward, with marked differences observed in rats compared to mice, and in male offspring compared to female offspring. Additional considerations include the administration and methodology used for the F0 exposure. Studies in this review ranged from single exposure models to chronic self-administration models. Interpretation of these results and subsequent extrapolation to human drug use should take these different models into account. Additionally, one largely unanswered phenomenon is the sex-differences in behavioral responses in drug-sired offspring. Paternal exposures to multiple drug classes (cocaine, alcohol, opioids) result in largely male-specific deficits.
Studies exploring the potential mechanisms underlying these multigenerational and transgenerational effects of paternal drug exposure are still extremely limited. Epigenetic mechanisms may be mediating the transgenerational inheritance of these alterations in behavior and neurobiology (Vassoler & Sadri-Vakili, 2014; Yuan et al., 2016). Notably, very few studies have looked beyond the first generation, therefore providing evidence only for multigenerational inheritance rather than transgenerational. For the effect to be truly non-genomic epigenetic inheritance, it must persist past the first generation. Regardless, the significance of an impact on the first generation warrants future studies delineating the effects of paternal exposure on the behavior and neurobiology of subsequent generations.
Acknowledgments
This work was funded by 1U01DA041632 (T.J.G), the Jean Phillips Shibley Endowment (T.J.G.), and Penn State University (T.J.G.).
Abbreviations
- BDNF
brain-derived neurotrophic factor
- CRF
corticotrophin-releasing factor
- CRF-R2
corticotrophin-releasing factor receptor-2
- IGF-2
insulin-like growth factor 2
- mPFC
medial prefrontal cortex
- LTP
long-term potentiation
- nAChRs
nicotinic acetycholine receptors
- PND
post-natal day
- VTA
ventral tegmental area
Footnotes
All peer review communications can be found with the online version of the article.
Competing Interests
Authors have no competing interests to disclose.
References
- Abel EL (1993) Paternal alcohol exposure and hyperactivity in rat offspring: effects of amphetamine. Neurotoxicol. Teratol, 15, 445–449. [DOI] [PubMed] [Google Scholar]
- Abel EL (1994) Effects of physostigmine on male offspring sired by alcohol-treated fathers. Alcohol Clin. Exp. Res, 18, 648–652. [DOI] [PubMed] [Google Scholar]
- Abel EL & Lee JA (1988) Paternal alcohol exposure affects offspring behavior but not body or organ weights in mice. Alcohol Clin. Exp. Res, 12, 349–355. [DOI] [PubMed] [Google Scholar]
- Abel EL, Moore C, Waselewsky D, Zajac C & Russell LD (1989) Effects of cocaine hydrochloride on reproductive function and sexual behavior of male rats and on the behavior of their offspring. J. Androl, 10, 17–27. [DOI] [PubMed] [Google Scholar]
- Allen RM, Everett CV, Nelson AM, Gulley JM & Zahniser NR (2007) Low and high locomotor responsiveness to cocaine predicts intravenous cocaine conditioned place preference in male Sprague-Dawley rats. Pharmacol. Biochem. Behav, 86, 37–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Balfour DJ (2009) The neuronal pathways mediating the behavioral and addictive properties of nicotine. Handb. Exp. Pharmacol, 192, 209–233. [DOI] [PubMed] [Google Scholar]
- Barker JM, Taylor JR, De Vries TJ & Peters J (2015) Brain-derived neurotrophic factor and addiction: pathological versus therapeutic effects on drug seeking. Brain Res, 1628, 68–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barrett SP, Boileau I, Okker J, Pihl RO & Dagher A (2004) The hedonic response to cigarette smoking is proportional to dopamine release in the human striatum as measured by positron emission tomography and [11C]raclopride. Synapse, 54, 65–71. [DOI] [PubMed] [Google Scholar]
- Belknap JK, McWeeney S, Reed C, Burkhart-Kasch S, McKinnon CS, Li N, Baba H, Scibelli AC et al. (2013) Genetic factors involved in risk for methamphetamine intake and sensitization. Mamm. Genome, 24, 446–458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Benowitz NL, Kuyt F & Jacob P 3rd (1982) Circadian blood nicotine concentrations during cigarette smoking. Clin. Pharmacol. Ther, 32, 758–764. [DOI] [PubMed] [Google Scholar]
- Berglind WJ, See RE, Fuchs RA, Ghee SM, Whitfield TW Jr, Miller SW & McGinty JF (2007) A BDNF infusion into the medial prefrontal cortex suppresses cocaine seeking in rats. Eur. J. Neurosci, 26, 757–766. [DOI] [PubMed] [Google Scholar]
- Bierut LJ & Tyndale RF (2018) Preparing the way: exploiting genomic medicine to stop smoking. Trends Mol. Med, 24, 187–196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bird A (2007) Perceptions of epigenetics. Nature, 447, 396–398. [DOI] [PubMed] [Google Scholar]
- Blank T, Nijholt I, Eckart K & Spiess J (2002) Priming of long-term potentiation in mouse hippocampus by corticotropin-releasing factor and acute stress: implications for hippocampus-dependent learning. J. Neurosci, 22, 3788–3794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bliss TV & Lomo T (1973) Long-lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the perforant path. J. Physiol, 232, 331–356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Britt MD & Wise RA (1983) Ventral tegmental site of opiate reward: antagonism by a hydrophilic opiate receptor blocker. Brain Res, 258, 105–108. [DOI] [PubMed] [Google Scholar]
- Bruchas MR, Land BB, Lemos JC & Chavkin C (2009) CRF1-R activation of the dynorphin/kappa opioid system in the mouse basolateral amygdala mediates anxiety-like behavior. PLoS One, 4, e8528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Byrnes EM (2005) Transgenerational consequences of adolescent morphine exposure in female rats: effects on anxiety-like behaviors and morphine sensitization in adult offspring. Psychopharmacology, 182, 537–544. [DOI] [PubMed] [Google Scholar]
- Byrnes JJ, Babb JA, Scanlan VF & Byrnes EM (2011) Adolescent opioid exposure in female rats: transgenerational effects on morphine analgesia and anxiety-like behavior in adult offspring. Behav. Brain Res, 218, 200–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Byrnes JJ, Johnson NL, Carini LM & Byrnes EM (2013) Multigenerational effects of adolescent morphine exposure on dopamine D2 receptor function. Psychopharmacology, 227, 263–272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cagniard B, Sotnikova TD, Gainetdinov RR & Zhuang X (2014) The dopamine transporter expression level differentially affects responses to cocaine and amphetamine. J. Neurogenet, 28, 112–121. [DOI] [PubMed] [Google Scholar]
- Calcaterra S, Glanz J & Binswanger IA (2013) National trends in pharmaceutical opioid related overdose deaths compared to other substance related overdose deaths: 1999–2009. Drug Alcohol Depend, 131, 263–270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carpenter RE, Korzan WJ, Bockholt C, Watt MJ, Forster GL, Renner KJ & Summers CH (2009) Corticotropin releasing factor influences aggression and monoamines: modulation of attacks and retreats. Neuroscience, 158, 412–425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Center for Behavioral Health Statistics and Quality (2015) Behavioral health trends in the United States: Results from the 2014 National Survey on Drug Use and Health.
- Chatterjee M, Jaiswal M & Palit G (2012) Comparative evaluation of forced swim test and tail suspension test as models of negative symptom of schizophrenia in rodents. ISRN Psychiatry, 2012, 595141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cicero TJ, Adams ML, Giordano A, Miller BT, O’Connor L & Nock B (1991) Influence of morphine exposure during adolescence on the sexual maturation of male rats and the development of their offspring. J. Pharmacol. Exp. Ther, 256, 1086–1093. [PubMed] [Google Scholar]
- Cicero TJ, Nock B, O’Connor L, Adams M & Meyer ER (1995) Adverse effects of paternal opiate exposure on offspring development and sensitivity to morphine-induced analgesia. J. Pharmacol. Exp. Ther, 273, 386–392. [PubMed] [Google Scholar]
- Cicero TJ, Nock B & Meyer ER (1996) Gender-related differences in the antinociceptive properties of morphine. J. Pharmacol. Exp. Ther, 279, 767–773. [PubMed] [Google Scholar]
- Cicero TJ, Nock B & Meyer ER (1997) Sex-related differences in morphine’s antinociceptive activity: relationship to serum and brain morphine concentrations. J. Pharmacol. Exp. Ther, 282, 939–944. [PubMed] [Google Scholar]
- Cloninger CR, Bohman M & Sigvardsson S (1981) Inheritance of alcohol abuse. Cross-fostering analysis of adopted men. Arch. Gen. Psychiatr, 38, 861–868. [DOI] [PubMed] [Google Scholar]
- Collo G, Cavalleri L & Spano P (2014) Structural plasticity in mesencephalic dopaminergic neurons produced by drugs of abuse: critical role of BDNF and dopamine. Front. Pharmacol, 5, 259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Craft RM (2008) Sex differences in analgesic, reinforcing, discriminative, and motoric effects of opioids. Exp. Clin. Psychopharmacol, 16, 376–385. [DOI] [PubMed] [Google Scholar]
- Dai J, Wang Z, Xu W, Zhang M, Zhu Z, Zhao X, Zhang D, Nie D et al. (2017) Paternal nicotine exposure defines different behavior in subsequent generation via hyper-methylation of mmu-miR-15b. Sci. Rep, 7, 7286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dasgupta N, Creppage K, Austin A, Ringwalt C, Sanford C & Proescholdbell SK (2014) Observed transition from opioid analgesic deaths toward heroin. Drug Alcohol Depend, 145, 238–241. [DOI] [PubMed] [Google Scholar]
- Ducci F & Goldman D (2012) The genetic basis of addictive disorders. Psychiatr. Clin. North Am, 35, 495–519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eichler EE, Flint J, Gibson G, Kong A, Leal SM, Moore JH & Nadeau JH (2010) Missing heritability and strategies for finding the underlying causes of complex disease. Nat. Rev. Genet, 11, 446–450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ervin CS, Little RE, Streissguth AP & Beck DE (1984) Alcoholic fathering and its relation to child’s intellectual development: a pilot investigation. Alcohol. Clin. Exp. Res, 8, 362–365. [DOI] [PubMed] [Google Scholar]
- Farah Naquiah MZ, James RJ, Suratman S, Lee LS, Mohd Hafidz MI, Salleh MZ & Teh LK (2016) Transgenerational effects of paternal heroin addiction on anxiety and aggression behavior in male offspring. Behav. Brain Funct, 12, 23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Faraone SV & Biederman J (1998) Neurobiology of attention-deficit hyperactivity disorder. Biol. Psychiatry, 44, 951–958. [DOI] [PubMed] [Google Scholar]
- Fernandez AM & Torres-Aleman I (2012) The many faces of insulin-like peptide signalling in the brain. Nat. Rev. Neurosci, 13, 225–239. [DOI] [PubMed] [Google Scholar]
- Finegersh A & Homanics GE (2014) Paternal alcohol exposure reduces alcohol drinking and increases behavioral sensitivity to alcohol selectively in male offspring. PLoS One, 9, e99078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fischer DK, Rice RC, Rivera AM, Donohoe M & Rajadhyaksha AM (2017) Altered reward sensitivity in female offspring of cocaine-exposed fathers. Behav. Brain Res, 332, 23–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Franklin KB (1989) Analgesia and the neural substrate of reward. Neurosci. Biobehav. Rev, 13, 149–154. [DOI] [PubMed] [Google Scholar]
- Franklin KB (1998) Analgesia and abuse potential: an accidental association or a common substrate? Pharmacol. Biochem. Behav, 59, 993–1002. [DOI] [PubMed] [Google Scholar]
- Gelernter J, Sherva R, Koesterer R, Almasy L, Zhao H, Kranzler HR & Farrer L (2014) Genome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene. Mol. Psychiatry, 19, 717–723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grant BF, Goldstein RB, Saha TD, Chou SP, Jung J, Zhang H, Pickering RP, Ruan WJ et al. (2015) Epidemiology of DSM-5 alcohol use disorder: results from the national epidemiologic survey on alcohol and related conditions III. JAMA Psychiatry, 72, 757–766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grasing K, Wang A & Schlussman S (1996) Behavioral measures of anxiety during opiate withdrawal. Behav. Brain Res, 80, 195–201. [DOI] [PubMed] [Google Scholar]
- Guerrero-Bosagna C, Settles M, Lucker B & Skinner MK (2010) Epigenetic transgenerational actions of vinclozolin on promoter regions of the sperm epigenome. PLoS One, 5, e13100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- He F, Lidow IA & Lidow MS (2006) Consequences of paternal cocaine exposure in mice. Neurotoxicol. Teratol, 28, 198–209. [DOI] [PubMed] [Google Scholar]
- He S, Yang Y, Mathur D & Grasing K (2008) Selective breeding for intravenous drug self-administration in rats: a pilot study. Behav. Pharmacol, 19, 751–764. [DOI] [PubMed] [Google Scholar]
- Heikkila RE, Orlansky H & Cohen G (1975) Studies on the distinction between uptake inhibition and release of (3H)dopamine in rat brain tissue slices. Biochem. Pharmacol, 24, 847–852. [DOI] [PubMed] [Google Scholar]
- Ho MK, Goldman D, Heinz A, Kaprio J, Kreek MJ, Li MD, Munafo MR & Tyndale RF (2010) Breaking barriers in the genomics and pharmacogenetics of drug addiction. Clin. Pharmacol. Ther, 88, 779–791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Horn AS (1990) Dopamine uptake: a review of progress in the last decade. Prog. Neurobiol, 34, 387–400. [DOI] [PubMed] [Google Scholar]
- Horowitz JM, Bhatti E, Devi BG & Torres G (1999) Behavior and drug measurements in Long-Evans and Sprague-Dawley rats after ethanol-cocaine exposure. Pharmacol. Biochem. Behav, 62, 329–337. [DOI] [PubMed] [Google Scholar]
- Hu MC, Davies M & Kandel DB (2006) Epidemiology and correlates of daily smoking and nicotine dependence among young adults in the United States. Am. J. Public Health, 96, 299–308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hughes V (2014) Epigenetics: The sins of the father. Nature, 507, 22–24. [DOI] [PubMed] [Google Scholar]
- Ingallinesi M, Rouibi K, Le Moine C, Papaleo F & Contarino A (2012) CRF2 receptor-deficiency eliminates opiate withdrawal distress without impairing stress coping. Mol. Psychiatry, 17, 1283–1294. [DOI] [PubMed] [Google Scholar]
- Jaenisch R & Bird A (2003) Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals. Nat. Genet, 33(Suppl), 245–254. [DOI] [PubMed] [Google Scholar]
- Jamerson PA, Wulser MJ & Kimler BF (2004) Neurobehavioral effects in rat pups whose sires were exposed to alcohol. Brain Res. Dev. Brain Res, 149, 103–111. [DOI] [PubMed] [Google Scholar]
- Jedrzejczak M (2005) Family and environmental factors of drug addiction among young recruits. Mil. Med, 170, 688–690. [DOI] [PubMed] [Google Scholar]
- Jensen KP (2016) A review of genome-wide association studies of stimulant and opioid use disorders. Mol. Neuropsy, 2, 37–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jirtle RL & Skinner MK (2007) Environmental epigenomics and disease susceptibility. Nat. Rev. Genet, 8, 253–262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson EO, Chen LS, Breslau N, Hatsukami D, Robbins T, Saccone NL, Grucza RA & Bierut LJ (2010) Peer smoking and the nicotinic receptor genes: an examination of genetic and environmental risks for nicotine dependence. Addiction, 105, 2014–2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson NL, Carini L, Schenk ME, Stewart M & Byrnes EM (2011) Adolescent opiate exposure in the female rat induces subtle alterations in maternal care and transgenerational effects on play behavior. Front. Psychiatr, 2, 29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kandel DB, Griesler PC & Hu M-C (2015) Intergenerational patterns of smoking and nicotine dependence among US adolescents. Am. J. Public Health, 105, e63–e72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kheirbek MA & Hen R (2011) Dorsal vs ventral hippocampal neurogenesis: implications for cognition and mood. Neuropsychopharmacology, 36, 373–374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Killinger CE, Robinson S & Stanwood GD (2012) Subtle biobehavioral effects produced by paternal cocaine exposure. Synapse, 66, 902–908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim P, Choi CS, Park JH, Joo SH, Kim SY, Ko HM, Kim KC, Jeon SJ et al. (2014) Chronic exposure to ethanol of male mice before mating produces attention deficit hyperactivity disorder-like phenotype along with epigenetic dysregulation of dopamine transporter expression in mouse offspring. J. Neurosci. Res, 92, 658–670. [DOI] [PubMed] [Google Scholar]
- Klose RJ & Bird AP (2006) Genomic DNA methylation: the mark and its mediators. Trends Biochem. Sci, 31, 89–97. [DOI] [PubMed] [Google Scholar]
- Klosin A, Casas E, Hidalgo-Carcedo C, Vavouri T & Lehner B (2017) Transgenerational transmission of environmental information in C. elegans. Science, 356, 320–323. [DOI] [PubMed] [Google Scholar]
- Koob GF (2014) Neurocircuitry of alcohol addiction: synthesis from animal models. Handb. Clin. Neurol, 125, 33–54. [DOI] [PubMed] [Google Scholar]
- Kuhar MJ, Ritz MC & Boja JW (1991) The dopamine hypothesis of the reinforcing properties of cocaine. Trends Neurosci, 14, 299–302. [DOI] [PubMed] [Google Scholar]
- Kumar A, Choi KH, Renthal W, Tsankova NM, Theobald DE, Truong HT, Russo SJ, Laplant Q et al. (2005) Chromatin remodeling is a key mechanism underlying cocaine-induced plasticity in striatum. Neuron, 48, 303–314. [DOI] [PubMed] [Google Scholar]
- Le Q, Yan B, Yu X, Li Y, Song H, Zhu H, Hou W, Ma D et al. (2017) Drug-seeking motivation level in male rats determines offspring susceptibility or resistance to cocaine-seeking behaviour. Nat. Commun, 8, 15527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lester BM, Andreozzi L & Appiah L (2004) Substance use during pregnancy: time for policy to catch up with research. Harm Reduct. J, 1, 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li E (2002) Chromatin modification and epigenetic reprogramming in mammalian development. Nat. Rev. Genet, 3, 662–673. [DOI] [PubMed] [Google Scholar]
- Li CQ, Luo YW, Bi FF, Cui TT, Song L, Cao WY, Zhang JY, Li F et al. (2014) Development of anxiety-like behavior via hippocampal IGF-2 signaling in the offspring of parental morphine exposure: effect of enriched environment. Neuropsychopharmacology, 39, 2777–2787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liang F, Diao L, Liu J, Jiang N, Zhang J, Wang H, Zhou W, Huang G et al. (2014) Paternal ethanol exposure and behavioral abnormities in offspring: associated alterations in imprinted gene methylation. Neuropharmacology, 81, 126–133. [DOI] [PubMed] [Google Scholar]
- Loyd DR, Wang X & Murphy AZ (2008) Sex differences in microopioid receptor expression in the rat midbrain periaqueductal gray are essential for eliciting sex differences in morphine analgesia. J. Neurosci, 28, 14007–14017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luscher C & Malenka RC (2011) Drug-evoked synaptic plasticity in addiction: from molecular changes to circuit remodeling. Neuron, 69, 650–663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Malanga CJ & Kosofsky BE (2003) Does drug abuse beget drug abuse? Behavioral analysis of addiction liability in animal models of prenatal drug exposure. Brain Res. Dev. Brain Res, 147, 47–57. [DOI] [PubMed] [Google Scholar]
- Mandt BH & Zahniser NR (2010) Low and high cocaine locomotor responding male Sprague-Dawley rats differ in rapid cocaine-induced regulation of striatal dopamine transporter function. Neuropharmacology, 58, 605–612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manikkam M, Guerrero-Bosagna C, Tracey R, Haque MM & Skinner MK (2012a) Transgenerational actions of environmental compounds on reproductive disease and identification of epigenetic biomarkers of ancestral exposures. PLoS One, 7, e31901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manikkam M, Tracey R, Guerrero-Bosagna C & Skinner MK (2012b) Dioxin (TCDD) induces epigenetic transgenerational inheritance of adult onset disease and sperm epimutations. PLoS One, 7, e46249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manikkam M, Tracey R, Guerrero-Bosagna C & Skinner MK (2012c) Pesticide and insect repellent mixture (permethrin and DEET) induces epigenetic transgenerational inheritance of disease and sperm epimutations. Reprod. Toxicol, 34, 708–719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manolio TA, Collins FS, Cox NJ, Goldstein DB, Hindorff LA, Hunter DJ, McCarthy MI, Ramos EM et al. (2009) Finding the missing heritability of complex diseases. Nature, 461, 747–753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martini M & Valverde O (2012) A single episode of maternal deprivation impairs the motivation for cocaine in adolescent mice. Psychopharmacology, 219, 149–158. [DOI] [PubMed] [Google Scholar]
- Mattson SN, Riley EP, Sowell ER, Jernigan TL, Sobel DF & Jones KL (1996) A decrease in the size of the basal ganglia in children with fetal alcohol syndrome. Alcohol. Clin. Exp. Res, 20, 1088–1093. [DOI] [PubMed] [Google Scholar]
- Meek LR, Myren K, Sturm J & Burau D (2007) Acute paternal alcohol use affects offspring development and adult behavior. Physiol. Behav, 91, 154–160. [DOI] [PubMed] [Google Scholar]
- Mishra A, Chaturvedi P, Datta S, Sinukumar S, Joshi P & Garg A (2015) Harmful effects of nicotine. Indian J. Med. Paediatr. Oncol, 36, 24–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morisot N, Le Moine C, Millan MJ & Contarino A (2014) CRF(2) receptor-deficiency reduces recognition memory deficits and vulnerability to stress induced by cocaine withdrawal. Int. J. Neuropsychopharmacol, 17, 1969–1979. [DOI] [PubMed] [Google Scholar]
- Morisot N, Monier R, Le Moine C, Millan MJ & Contarino A (2018) Corticotropin-releasing factor receptor 2-deficiency eliminates social behaviour deficits and vulnerability induced by cocaine. Br. J. Pharmacol, 175, 1504–1518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nestler EJ (2014) Epigenetic mechanisms of drug addiction. Neuropharmacology, 76 Pt B, 259–268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Okamoto H, Voleti B, Banasr M, Sarhan M, Duric V, Girgenti MJ, Dileone RJ, Newton SS et al. (2010) Wnt2 expression and signaling is increased by different classes of antidepressant treatments. Biol. Psychiatr, 68, 521–527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ornoy A & Ergaz Z (2010) Alcohol abuse in pregnant women: effects on the fetus and newborn, mode of action and maternal treatment. Int. J. Environ. Res. Public Health, 7, 364–379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ozkaragoz T, Satz P & Noble EP (1997) Neuropsychological functioning in sons of active alcoholic, recovering alcoholic, and social drinking fathers. Alcohol, 14, 31–37. [DOI] [PubMed] [Google Scholar]
- Pachenari N, Azizi H, Ghasemi E, Azadi M & Semnanian S (2018) Exposure to opiates in male adolescent rats alters pain perception in the male offspring. Behav. Pharmacol, 29, 255–260. [DOI] [PubMed] [Google Scholar]
- Pandey SC (2016) A critical role of brain-derived neurotrophic factor in alcohol consumption. Biol. Psychiatr, 79, 427–429. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Park PE, Vendruscolo LF, Schlosburg JE, Edwards S, Schulteis G & Koob GF (2013) Corticotropin-releasing factor (CRF) and alpha 2 adrenergic receptors mediate heroin withdrawal-potentiated startle in rats. Int. J. Neuropsychopharmacol, 16, 1867–1875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peterson JB & Pihl RO (1990) Information processing, neuropsychological function, and the inherited predisposition to alcoholism. Neuropsychol. Rev, 1, 343–369. [DOI] [PubMed] [Google Scholar]
- Petraschka M, Li S, Gilbert TL, Westenbroek RE, Bruchas MR, Schreiber S, Lowe J, Low MJ et al. (2007) The absence of endogenous beta-endorphin selectively blocks phosphorylation and desensitization of mu opioid receptors following partial sciatic nerve ligation. Neuroscience, 146, 1795–1807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Piazza PV, Maccari S, Deminiere JM, Le Moal M, Mormede P & Simon H (1991) Corticosterone levels determine individual vulnerability to amphetamine self-administration. Proc. Natl. Acad. Sci. USA, 88, 2088–2092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pierce RC, Fant B, Swinford-Jackson SE, Heller EA, Berrettini WH, & Wimmer ME (2018). Environmental, genetic and epigenetic contributions to cocaine addiction. Neuropsychopharmacology, 43, 1471–1480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pihl RO, Peterson J & Finn P (1990) Inherited predisposition to alcoholism: characteristics of sons of male alcoholics. J. Abnorm. Psychol, 99, 291–301. [DOI] [PubMed] [Google Scholar]
- Pooriamehr A, Sabahi P & Miladi-Gorji H (2017) Effects of environmental enrichment during abstinence in morphine dependent parents on anxiety, depressive-like behaviors and voluntary morphine consumption in rat offspring. Neurosci. Lett, 656, 37–42. [DOI] [PubMed] [Google Scholar]
- Radcliffe RA, Bludeau P, Asperi W, Fay T, Deng XS, Erwin VG & Deitrich RA (2006) Confirmation of quantitative trait loci for ethanol sensitivity and neurotensin receptor density in crosses derived from the inbred high and low alcohol sensitive selectively bred rat lines. Psychopharmacology, 188, 343–354. [DOI] [PubMed] [Google Scholar]
- Raivio N, Miettinen P & Kiianmaa K (2014) Innate BDNF expression is associated with ethanol intake in alcohol-preferring AA and alcohol-avoiding ANA rats. Brain Res, 1579, 74–83. [DOI] [PubMed] [Google Scholar]
- Richards EJ (2006) Inherited epigenetic variation–revisiting soft inheritance. Nat. Rev. Genet, 7, 395–401. [DOI] [PubMed] [Google Scholar]
- Richter RM & Weiss F (1999) In vivo CRF release in rat amygdala is increased during cocaine withdrawal in self-administering rats. Synapse, 32, 254–261. [DOI] [PubMed] [Google Scholar]
- Riley EP, Mattson SN, Sowell ER, Jernigan TL, Sobel DF & Jones KL (1995) Abnormalities of the corpus callosum in children prenatally exposed to alcohol. Alcohol. Clin. Exp. Res, 19, 1198–1202. [DOI] [PubMed] [Google Scholar]
- Rompala GR, Finegersh A & Homanics GE (2016) Paternal preconception ethanol exposure blunts hypothalamic-pituitary-adrenal axis responsivity and stress-induced excessive fluid intake in male mice. Alcohol, 53, 19–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rompala GR, Finegersh A, Slater M & Homanics GE (2017) Paternal preconception alcohol exposure imparts intergenerational alcohol-related behaviors to male offspring on a pure C57BL/6J background. Alcohol, 60, 169–177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sarkaki A, Assaei R, Motamedi F, Badavi M & Pajouhi N (2008) Effect of parental morphine addiction on hippocampal long-term potentiation in rats offspring. Behav. Brain Res, 186, 72–77. [DOI] [PubMed] [Google Scholar]
- Schuckit MA, Goodwin DA & Winokur G (1972) A study of alcoholism in half siblings. Am. J. Psychiatr, 128, 1132–1136. [DOI] [PubMed] [Google Scholar]
- Sinha R (2001) How does stress increase risk of drug abuse and relapse? Psychopharmacology, 158, 343–359. [DOI] [PubMed] [Google Scholar]
- Sinha R (2008) Chronic stress, drug use, and vulnerability to addiction. Ann. N. Y. Acad. Sci, 1141, 105–130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sinha R (2009) Modeling stress and drug craving in the laboratory: implications for addiction treatment development. Addict. Biol, 14, 84–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sithisarn T, Granger DT & Bada HS (2012) Consequences of prenatal substance use. Int. J. Adolesc. Med. Health, 24, 105–112. [DOI] [PubMed] [Google Scholar]
- Skinner MK (2008) What is an epigenetic transgenerational phenotype? F3 or F2. Reprod. Toxicol, 25, 2–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Skinner MK (2011) Environmental epigenetic transgenerational inheritance and somatic epigenetic mitotic stability. Epigenetics, 6, 838–842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Skinner MK & Guerrero-Bosagna C (2009) Environmental signals and transgenerational epigenetics. Epigenomics, 1, 111–117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Skinner MK, Manikkam M & Guerrero-Bosagna C (2010) Epigenetic transgenerational actions of environmental factors in disease etiology. Trends Endocrinol. Metab, 21, 214–222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- South SM, Edwards SR & Smith MT (2009) Antinociception versus serum concentration relationships following acute administration of intravenous morphine in male and female Sprague-Dawley rats: differences between the tail flick and hot plate nociceptive tests. Clin. Exp. Pharmacol. Physiol, 36, 20–28. [DOI] [PubMed] [Google Scholar]
- Stolerman IP, & Jarvis MJ (1995). The scientific case that nicotine is addictive. Psychopharmacology, 117, 2–10; discussion 14–20. [DOI] [PubMed] [Google Scholar]
- Swayze VW 2nd, Johnson VP, Hanson JW, Piven J, Sato Y, Giedd JN, Mosnik D & Andreasen NC (1997) Magnetic resonance imaging of brain anomalies in fetal alcohol syndrome. Pediatrics, 99, 232–240. [DOI] [PubMed] [Google Scholar]
- Szutorisz H, DiNieri JA, Sweet E, Egervari G, Michaelides M, Carter JM, Ren Y, Miller ML et al. (2014) Parental THC exposure leads to compulsive heroin-seeking and altered striatal synaptic plasticity in the subsequent generation. Neuropsychopharmacology, 39, 1315–1323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Szutorisz H, Egervari G, Sperry J, Carter JM & Hurd YL (2016) Cross-generational THC exposure alters the developmental sensitivity of ventral and dorsal striatal gene expression in male and female offspring. Neurotoxicol. Teratol, 58, 107–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Talbert PB & Henikoff S (2006) Spreading of silent chromatin: inaction at a distance. Nat. Rev. Genet, 7, 793–803. [DOI] [PubMed] [Google Scholar]
- Tidey JW & Miczek KA (1992) Heightened aggressive behavior during morphine withdrawal: effects of d-amphetamine. Psychopharmacology, 107, 297–302. [DOI] [PubMed] [Google Scholar]
- Umathe SN, Mundhada YR & Bhutada PS (2012) Differential effects of acute morphine, and chronic morphine-withdrawal on obsessive-compulsive behavior: inhibitory influence of CRF receptor antagonists on chronic morphine-withdrawal. Neuropeptides, 46, 217–221. [DOI] [PubMed] [Google Scholar]
- Vallaster MP, Kukreja S, Bing XY, Ngolab J, Zhao-Shea R, Gardner PD, Tapper AR, & Rando OJ (2017). Paternal nicotine exposure alters hepatic xenobiotic metabolism in offspring. Elife, 6, e24771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vassoler FM & Sadri-Vakili G (2014) Mechanisms of transgenerational inheritance of addictive-like behaviors. Neuroscience, 264, 198–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vassoler FM, White SL, Schmidt HD, Sadri-Vakili G & Pierce RC (2013) Epigenetic inheritance of a cocaine-resistance phenotype. Nat. Neurosci, 16, 42–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vassoler FM, Johnson-Collins NL, Carini LM & Byrnes EM (2014) Next generation effects of female adolescent morphine exposure: sex-specific alterations in response to acute morphine emerge before puberty. Behav. Pharmacol, 25, 173–181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vassoler FM, Wright SJ & Byrnes EM (2016) Exposure to opiates in female adolescents alters mu opiate receptor expression and increases the rewarding effects of morphine in future offspring. Neuropharmacology, 103, 112–121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vassoler FM, Oliver DJ, Wyse C, Blau A, Shtutman M, Turner JR & Byrnes EM (2017) Transgenerational attenuation of opioid self-administration as a consequence of adolescent morphine exposure. Neuropharmacology, 113, 271–280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vassoler FM, Toorie AM & Byrnes EM (2018) Transgenerational blunting of morphine-induced corticosterone secretion is associated with dysregulated gene expression in male offspring. Brain Res, 1679, 19–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vathy I (2002) Prenatal opiate exposure: long-term CNS consequences in the stress system of the offspring. Psychoneuroendocrinology, 27, 273–283. [DOI] [PubMed] [Google Scholar]
- Vink JM, Willemsen G & Boomsma DI (2005) Heritability of smoking initiation and nicotine dependence. Behav. Genet, 35, 397–406. [DOI] [PubMed] [Google Scholar]
- Voleti B & Duman RS (2012) The roles of neurotrophic factor and Wnt signaling in depression. Clin. Pharmacol. Ther, 91, 333–338. [DOI] [PubMed] [Google Scholar]
- Volkow ND, Wang GJ, Fowler JS, Logan J, Gatley SJ, Gifford A, Hitzemann R, Ding YS et al. (1999) Prediction of reinforcing responses to psychostimulants in humans by brain dopamine D2 receptor levels. Am. J. Psychiatr, 156, 1440–1443. [DOI] [PubMed] [Google Scholar]
- Vuolo M & Staff J (2013) Parent and child cigarette use: a longitudinal, multigenerational study. Pediatrics, 132, e568–e577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vyssotski DL (2014) Transgenerational epigenteic compensation and natural selection. Evolocus, 1, 19–24. [Google Scholar]
- Watson CT, Szutorisz H, Garg P, Martin Q, Landry JA, Sharp AJ & Hurd YL (2015) Genome-wide DNA Methylation profiling reveals epigenetic changes in the rat nucleus accumbens associated with cross-generational effects of adolescent THC exposure. Neuropsychopharmacology, 40, 2993–3005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- White SL, Vassoler FM, Schmidt HD, Pierce RC & Wimmer ME (2016) Enhanced anxiety in the male offspring of sires that self-administered cocaine. Addict. Biol, 21, 802–810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wimmer ME, Briand LA, Fant B, Guercio LA, Arreola AC, Schmidt HD, Sidoli S, Han Y et al. (2017) Paternal cocaine taking elicits epigenetic remodeling and memory deficits in male progeny. Mol. Psychiatr, 22, 1641–1650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wozniak DF, Cicero TJ, Kettinger L 3rd & Meyer ER (1991) Paternal alcohol consumption in the rat impairs spatial learning performance in male offspring. Psychopharmacology, 105, 289–302. [DOI] [PubMed] [Google Scholar]
- Yuan TF, Li A, Sun X, Ouyang H, Campos C, Rocha NBF, Arias-Carrion O, Machado S et al. (2016) Transgenerational inheritance of paternal neurobehavioral phenotypes: stress, addiction, ageing and metabolism. Mol. Neurobiol, 53, 6367–6376. [DOI] [PubMed] [Google Scholar]
- Zangen A, Nakash R, Overstreet DH & Yadid G (2001) Association between depressive behavior and absence of serotonin-dopamine interaction in the nucleus accumbens. Psychopharmacology, 155, 434–439. [DOI] [PubMed] [Google Scholar]
- Zhao-Shea R, Liu L, Pang X, Gardner PD & Tapper AR (2013) Activation of GABAergic neurons in the interpeduncular nucleus triggers physical nicotine withdrawal symptoms. Curr. Biol, 23, 2327–2335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhou WJ, Xu N, Kong L, Sun SC, Xu XF, Jia MZ, Wang Y & Chen ZY (2016) The antidepressant roles of Wnt2 and Wnt3 in stress-induced depression-like behaviors. Transl. Psychiatr, 6, e892. [DOI] [PMC free article] [PubMed] [Google Scholar]
